Work

A novel digital twin for battery energy storage systems in micro-grids

Year: 2025

Type: article

Abstract: Nowadays, traditional power grids, conventionally designed with a centralized paradigm, are evolving toward more decentralized configurations with numerous smaller nodes ( prosumers ), leading to increased interactions and complexity. In this context, digital twins (DTs) come in handy to replicate the behavior of a physical process in a fast, virtual, and safe way. This paper introduces a novel DT of a battery energy storage system (BESS), designed as a general-purpose framework adaptable for employment in complex scenarios. In addition to the DT design, this work presents a practical implementation of the proposed framework, rigorously validated through an extensive experimental campaign using real-world data. Specifically, the model is tested on realistic datasets, including a photovoltaic (PV) power profile, an experimental microgrid setup, and aged battery data. The results demonstrate the DT’s strong emulation capabilities, with a Mean Absolute Percentage Error (MAPE) consistently below 0.50% across all experiments.

Source: Journal of Energy Storage

DOI: 10.1016/j.est.2025.117745

Authors: Davide Salaorni, Federico Bianchi, Silvia Colnago, Andrea Barisione, Francesco Trovò, Marcello Restelli

Institutions: Ricerca sul Sistema Energetico (Italy), Politecnico di Milano

Language: English

Topic: Microgrid Control and Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: hybrid

Estimated APC paid: $3,560